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Designs and builds data pipelines using Spark, Databricks, and cloud platforms to support analytics and reporting for a global agency network.
Builds and optimizes data pipelines using Python, Spark, and cloud services to support business processes and digital transformation.
Designs and maintains real-time data pipelines and BI systems using SQL, Snowflake, DBT, and Kafka to deliver analytics for a global client base.
Architect and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and ensuring data reliability with Python, Airflow/Prefer/Dagster, and CI/CD.
Build and optimize scalable data pipelines and services for e-commerce platforms using Node.js, GCP, and Kubernetes to power analytics, personalization, and real-time systems.
Design and run data pipelines from CRM sources to a Databricks-based warehouse using dbt and Airflow, with Python/PySpark in an AWS S3 data lake.
Build and maintain Azure-based data pipelines and Power BI dashboards for EY’s advisory clients, ensuring data quality and integration.
Senior Data Engineer at DiDi to maintain and optimize large-scale data pipelines, ensuring reliability and performance while solving ambiguous data issues across global teams.
Designs and builds scalable data pipelines and lakehouse architectures using Microsoft Fabric for Amcor’s climate-focused data platform.
Build and maintain data pipelines and BI dashboards on Azure, integrating sources and delivering real-time insights using Power BI, DOMO, Python, and Azure Data Platform tools.
Designs scalable data pipelines and migrates analytics workloads from Redshift to a Databricks Lakehouse on AWS using PySpark and Spark.
Senior Data Engineer maintains AWS-based data platforms, troubleshooting incidents and ensuring reliability for production environments.
Senior Data Engineer to design and build a scalable ML data platform using Snowflake, dbt, and Airflow/Dagster for analytics and model training.
Design and build high-throughput data pipelines to curate datasets for AI models using Python, Scala, Spark, and Kafka.
Build and maintain AWS-native data pipelines in Python to onboard client datasets, troubleshoot production workflows, and ensure reliable data flow for AI and fintech clients.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and analytics models for enterprise clients using cloud platforms like Azure, AWS, or GCP.
Senior role maintaining and troubleshooting cloud-based data platforms on AWS, optimizing SQL queries, and automating support tasks with Python to ensure production reliability.
Senior Production Data Engineer maintains AWS-based data platforms, troubleshoots data incidents, and ensures reliability for L2/L3 support in a collaborative environment.
Design and optimize cloud data platforms for clients using Snowflake, AWS, Azure, and Terraform, while advising on best practices and automation.
Builds and optimizes scalable data platforms using Python and SQL, leveraging Snowflake and Databricks to create secure, multi-tenant data applications for international projects.
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